IBM is unveiling IBM Network Intelligence, a network-native AI solution that addresses the escalating complexity of modern telecommunications and enterprise networks.
Developed in collaboration with IBM Research, the solution is essential for organizations that want to transform every phase of network operations and build trustworthy AI, according to IBM.
IBM Network Intelligence pairs advanced time-series foundation models with LLM-powered reasoning agents to create a network-aware AI collaborator.
IBM Network Intelligence is built to introduce a human-AI partnership model built on complimentary deep learning and agentic technologies. It combines analytical AI that consumes and understands massive amounts of network data, with reasoning and agentic AI that understands that data and the relationship of various inputs across systems, hypothesizes potential issues and root causes, and assists with filtering out noise and delivering high-confidence insights.
Together, they are designed to enable a powerful new operating model where AI handles scale, pattern recognition and goal-oriented action, and humans guide the context, judgment, and trust-building required to make that intelligence reliably actionable, said IBM.
This combination of both analytical and “reasoning” AI capabilities represents a transformational opportunity to embed advanced domain-aware AI across the network. It is intended to improve collaboration between humans and AI agents.
The analytical AI capabilities in IBM Network Intelligence are underpinned by IBM Granite Time Series Foundation Models, compact AI models developed by IBM Research as part of the trusted, open IBM Granite family.
What’s unique about these models is that they are customized and purpose-built for networking, pre-trained on high-volume telemetry, alarms, and flow data across diverse environments. Unlike purely statistical ML, rule-based tools, or generic LLMs, these Time Series Foundation Models offer deep contextual understanding of network behavior.
This new IBM offering is built to provide one pipeline for all the different types of networking data used by an organization. This includes how their network is designed, the vendor(s) they use, their operational procedures, and any other documented rules or guidance that are specific or relevant to that organization for running their network.
IBM Network Intelligence pre-trained models are intended to provide organizations with value right away, the company said.
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